Division of Genomic Medicine

A Catalog of Published Genome-Wide Association Studies

Update (5/12/15): The NHGRI-EBI GWAS Catalog has moved to the European Molecular Biology Laboratory-European Bioinformatics Institute (EMBL-EBI) at http://www.ebi.ac.uk/gwas. Users may now find the new search interface and updated content at this site. Questions about the GWAS Catalog may be directed to gwas-info@ebi.ac.uk.

Why has the catalog moved to EMBL-EBI?
From September 2010 to the present, delivery and development of the Catalog has been a collaborative project between EMBL-EBI and NHGRI. In March 2015 the Catalog infrastructure moved to EMBL-EBI to enable delivery of an improved user interface, including ontology driven Catalog searching, and new curatorial infrastructure, supporting improved QC processes. Catalog content available through this original GWAS Catalog website was last updated on February 20th 2015 with all previous and updated content available at EMBL-EBI.

An archived tab-delimited file of the GWAS Catalog content prior to the EBI transition is available here: Tab Delimited File

The genome-wide association study (GWAS) publications in the Catalog include a primary GWAS analysis, defined as array-based genotyping and analysis of 100,000+ pre-QC SNPs selected to tag variation across the genome and without regard to gene content. GWAS data from published studies which are incorporated into new GWAS analyses are eligible, provided they meet the other criteria. Studies imputing sequencing data to genotyping arrays are eligible as long as the arrays include sufficient genome-wide coverage so that the post-imputation analysis meets the definition of a GWAS analysis, as described above. The scope of the GWAS Catalog is currently being expanded to include studies of large-scale targeted/non-genome-wide arrays, including the Metabochip, Immunochip and Exome arrays. This is currently in a pilot phase where prioritization of targeted and exome array studies for inclusion in the Catalog is by 1) relevance of the trait analyzed 2) user request.